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Record W2408689784 · doi:10.11646/zootaxa.4111.5.1

Revision of the Nearctic species of Callomyia Meigen (Diptera: Platypezidae) and phylogeny of the genus

2016· article· en· W2408689784 on OpenAlexaff
HEATHER J. CUMMING, Terry A. Wheeler

Bibliographic record

VenueZootaxa · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicDiptera species taxonomy and behavior
Canadian institutionsMcGill University
Fundersnot available
KeywordsNearctic ecozoneBiologyGenusZoologyPhylogeneticsEvolutionary biologyEcologyGenetics

Abstract

fetched live from OpenAlex

The Nearctic fauna of the genus Callomyia Meigen is revised and a phylogeny of the world species, based on morphological characters, is presented. Although morphological data are used primarily to delimit species, molecular sequence data (DNA barcodes) are used where possible, to help determine species boundaries and associate sexes. Species descriptions, diagnoses, and distribution maps are presented, along with illustrations of habitus, male terminalia, and additional important diagnostic characters. A key to the Nearctic species is provided. Ten species are recorded from the Nearctic Region including three new species: C. argentea Cumming sp. nov., C. arnaudi Cumming sp. nov., C. bertae Kessel, C. browni Cumming sp. nov., C. calla Kessel, C. corvina Kessel, C. gilloglyorum Kessel, C. proxima Johnson, C. velutina Johnson, and C. venusta Snow. The female of C. velutina is described, and three new synonyms are proposed: C. cleta Kessel is a junior synonym of C. calla syn. nov.; C. clara Kessel is a junior synonym of C. corvina syn. nov.; and C. liardia Kessel & Buegler is a junior synonym of C. proxima syn. nov. Phylogenetic relationships within the genus are reconstructed. The genus is monophyletic based primarily on the setulose R1 wing vein, female antennal size and three larval characters. The Nearctic species do not form a monophyletic group with respect to the Old World species.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.614
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.202
Teacher spread0.181 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2016
Admission routes1
Has abstractyes

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